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- W2519327604 abstract "Return-Oriented Programming (ROP) is a software exploit for system compromise. By chaining short instruction sequences from existing code pieces, ROP can bypass static code-integrity checking approaches and non-executable page protections. Existing defenses either require access to source code or binary, a customized compiler or hardware modifications, or suffer from high performance and storage overhead. In this work, we propose SIGDROP, a low-cost approach for ROP detection which uses low-level properties inherent to ROP attacks. Specifically, we observe special patterns of certain hardware events when a ROP attack occurs during program execution. Such hardware event-based patterns form signatures to flag ROP attacks at runtime. SIGDROP leverages Hardware Performance Counters, which are already present in commodity processors, to efficiently capture and extract the signatures. Our evaluation demonstrates that SIGDROP can effectively detect ROP attacks with acceptable performance overhead and negligible storage overhead." @default.
- W2519327604 created "2016-09-23" @default.
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- W2519327604 date "2016-09-09" @default.
- W2519327604 modified "2023-09-25" @default.
- W2519327604 title "SIGDROP: Signature-based ROP Detection using Hardware Performance Counters" @default.
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- W2519327604 doi "https://doi.org/10.48550/arxiv.1609.02667" @default.
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